The True Advantage of AI Lies in Empowering Talent

The conversation about artificial intelligence in business often starts with a simple question: What can we automate? It is a valid question, but it is no longer enough. As AI becomes embedded in organizations and moves from an experimental tool to a strategic priority, a more relevant question emerges: How can we use it to help the people who create the most value do their jobs better?

This question is particularly important because there is still a gap between expectations and results. In a Bain survey of 100 CEOs, nearly 80% said they were dissatisfied with the progress of their AI initiatives despite the investments they had made. At the same time, uncertainty is also affecting employees: according to ADP’s "Today at Work 2026," only 18% of workers in specialized roles believe their jobs are secure.

These findings show that the challenge is not simply technological. Companies are adopting new tools at a rapid pace, yet many employees still lack a clear understanding of how their jobs will change — or, more importantly, how they can benefit from this transformation. For AI to deliver sustainable results, organizations need to connect technology with people and with the activities that truly drive the business.

This creates a particularly important opportunity: using AI to strengthen the teams closest to customers and to the decisions that drive results. In consumer products, for example, this could mean key account managers; in retail, store, or category managers; and in industrial sectors, technical sales, or field service teams. These professionals bring together experience, business knowledge, and customer relationships — qualities that are difficult to replicate with a tool.

AI can help them process information faster, identify opportunities, anticipate needs, and be better prepared for decisions or negotiations. The value, therefore, is not simply about saving time. It is about using that time for activities in which judgment, experience, and human relationships can have a greater impact. Companies that have followed this approach have recorded increases of more than 50% in revenue per team member in their commercial teams, according to a Bain analysis.

This distinction will become increasingly important. Automating administrative tasks or simplifying processes can improve efficiency, but it is unlikely to create a lasting competitive advantage on its own: competitors have access to many of the same tools. The real differentiator will be each company’s ability to use AI in ways that reflect its strategy, its data, its market knowledge, and the strengths of its people.

Achieving this requires more than adopting new tools. Companies need to rethink how people work and how decisions are made. This means integrating AI into day-to-day activities, reassessing processes that no longer create value, and preparing teams to work effectively alongside these technologies. Transformation happens when technology becomes part of how the business operates—not when it remains confined to isolated applications.

It is also important to be selective about where to start. Not every function requires the same degree of transformation, and not every company should prioritize the same areas. The starting point should be identifying where strengthening people’s capabilities can have the greatest impact on growth, profitability, or customer experience. In some cases, the priority will be to automate internal processes; in others, the greater opportunity will be to empower those who interact directly with the market.

As leaders, we therefore need to change the conversation. AI should not be viewed simply as doing more with less, but as an opportunity to do better what matters most. That means focusing on the capabilities we want to build, not just on the tasks we can eliminate. When technology frees up time, improves decision quality, and enables teams to focus on higher-value activities, transformation stops being a technological exercise and becomes a strategic choice.

Technology is increasingly available to everyone. Tools are becoming more accessible, and the gap between companies with access to them and those without is narrowing. The advantage will come from how each organization combines these tools with its talent and the knowledge it has built over time. That combination can help companies develop distinctive capabilities, strengthen customer relationships, and respond more quickly to market opportunities.

The challenge for leaders is ensuring that transformation does not leave behind the people with the greatest potential to make it successful. Frontline employees should not simply be recipients of new tools; they should help shape how those tools are integrated into the business. Listening to their experience, identifying where they can create the most value, and showing them how AI can expand their capabilities will be critical to turning adoption into tangible results.

Technology can be copied. What cannot be easily replicated is the combination of proprietary data, redesigned processes, and customer relationships built over time. Organizations that place their frontline at the center of their AI strategy will not only be more efficient: they will be harder to catch.